Hierarchical clustering of anomalous readpairs was used to identify groupings of five or more readpairs that had a similar size and position. Read pairs were defined as anomalous if they had high-confidence alignments of each individual read that nevertheless were either incorrectly oriented or implied an insert size of at least 3 standard deviations outside the sample median.